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https://issues.apache.org/jira/browse/SPARK-2448?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Michael Armbrust resolved SPARK-2448.
-------------------------------------
Resolution: Duplicate
Thanks for reporting, I think [~yhuai] also filed the same bug. So, I'm going
to close this one.
> Table name is not getting applied to their attributes after "registerAsTable"
> -----------------------------------------------------------------------------
>
> Key: SPARK-2448
> URL: https://issues.apache.org/jira/browse/SPARK-2448
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.0.0
> Reporter: Jerry Lam
>
> The following sample code will fail:
> {code}
> val hiveContext = new org.apache.spark.sql.hive.HiveContext(sc)
> import hiveContext._
> hql("USE test")
> hql("select id from m").registerAsTable("m")
> hql("select s.id from m join s on (s.id=m.id)").collect().foreach(println)
> {code}
> The exception:
> {noformat}
> org.apache.spark.SparkException: Job aborted due to stage failure: Task
> 0.0:736 failed 4 times, most recent failure: Exception failure in TID 167 on
> host node05: org.apache.spark.sql.catalyst.errors.package$TreeNodeException:
> No function to evaluate expression. type: UnresolvedAttribute, tree: 'm.id
>
> org.apache.spark.sql.catalyst.analysis.UnresolvedAttribute.eval(unresolved.scala:59)
>
> org.apache.spark.sql.catalyst.expressions.Equals.eval(predicates.scala:151)
>
> org.apache.spark.sql.execution.Filter$$anonfun$2$$anonfun$apply$1.apply(basicOperators.scala:52)
>
> org.apache.spark.sql.execution.Filter$$anonfun$2$$anonfun$apply$1.apply(basicOperators.scala:52)
> scala.collection.Iterator$$anon$14.hasNext(Iterator.scala:390)
> scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> scala.collection.Iterator$class.foreach(Iterator.scala:727)
> scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
>
> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
>
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
>
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
> scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
> scala.collection.AbstractIterator.to(Iterator.scala:1157)
>
> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
> scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
>
> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
> scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
> org.apache.spark.rdd.RDD$$anonfun$15.apply(RDD.scala:717)
> org.apache.spark.rdd.RDD$$anonfun$15.apply(RDD.scala:717)
>
> org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1080)
>
> org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1080)
> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:111)
> org.apache.spark.scheduler.Task.run(Task.scala:51)
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
>
> java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:886)
>
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:908)
> java.lang.Thread.run(Thread.java:662)
> {noformat}
> The query execution plan:
> {noformat}
> == Logical Plan ==
> Project ['s.id]
> Join Inner, Some((id#106 = 'm.id))
> Project [id#96 AS id#62]
> MetastoreRelation test, m, None
> MetastoreRelation test, s, Some(s)
> == Optimized Logical Plan ==
> Project ['s.id]
> Join Inner, Some((id#106 = 'm.id))
> Project []
> MetastoreRelation test, m, None
> Project [id#106]
> MetastoreRelation test, s, Some(s)
> == Physical Plan ==
> Project ['s.id]
> Filter (id#106:0 = 'm.id)
> CartesianProduct
> HiveTableScan [], (MetastoreRelation test, m, None), None
> HiveTableScan [id#106], (MetastoreRelation test, s, Some(s)), None
> {noformat}
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